Accessibility settings

This paper is in the following e-collection/theme issue:

Genomics and Bioinformatics for Clinical Use (53) Diabetes Prevention (138) Cardiac Risk and Cardiac Risk Calculators (125) Cardiovascular Disease Prevention (225) Microbial genomics and metagenomics (12)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73119, first published .
Woman uses glucose meter to check blood sugar levels

Association Between Metabolic Clusters and Microbial Age in High-Risk Populations for Diabetes and Their Potential Impact on Cardiovascular Disease Risk: Cross-Sectional Observational Study

Association Between Metabolic Clusters and Microbial Age in High-Risk Populations for Diabetes and Their Potential Impact on Cardiovascular Disease Risk: Cross-Sectional Observational Study

Authors of this article:

Lu Xinlin1, 2 Author Orcid Image ;   Hongli Gu3 Author Orcid Image ;   Ren Li4 Author Orcid Image ;   Xianjun Mao4 Author Orcid Image ;   Can Chen5 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Lu Xinlin   1, 2 , MM ;   Hongli Gu   3 , MM ;   Ren Li   4 , BM ;   Xianjun Mao   4 , MM ;   Can Chen   5 , MD

1 Department of Cardiovascular Medicine, Jinan University, Guangzhou, China

2 Department of Cardiovascular Medicine, Chenzhou First People’s Hospital, Hunan, China

3 Department of Ultrasound Medicine, The First People's Hospital of Chenzhou, Chenzhou, China

4 Department of Cardiovascular Medicine, The First People's Hospital of Chenzhou, Chenzhou, China

5 Department of Cardiovascular Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China

Corresponding Author:

  • Can Chen, MD
  • Department of Cardiovascular Medicine
  • Affiliated Hospital of Guangdong Medical University
  • No.57, Renmin Avenue South, Xiashan District
  • Zhanjiang, Guangdong Province 524001
  • China
  • Phone: 86 0759-2369336
  • Email: 17773510887@163.com